Technology
Visualized: A Breakdown of Amazon’s Revenue Model
Visualized: A Breakdown of Amazon’s Revenue Model
Amazon has evolved into more than just an online store. While ecommerce makes up a significant portion of the company’s overall sales, its diverse revenue model generates billions through various business segments.
This visualization provides an overview of the different parts that make up Amazon, showing each business unit’s net sales from June 2019 to 2020.
A Diverse Revenue Model
With a market cap of $1.7 trillion, Amazon is currently the most valuable retailer in the world. The company is expected to account for 4.6% of total U.S. retail sales by the end of 2020—but the tech giant is more than just a one-trick pony.
A key factor in the company’s success is its diversification into other areas. Here’s a breakdown of Amazon’s revenue mix:
Business Segment | Net Sales (June 2019 - 2020) |
---|---|
Online stores | $163 B |
Third-party selling services | $63 B |
Amazon Web Services | $40 B |
Subscription services | $22 B |
Physical stores | $17 B |
Other | $17 B |
Total Revenue | $322 billion |
While Amazon is truly more than an online store, it’s worth noting that online sales account for a significant amount of the company’s overall revenue mix. Over the period of June 2019 to 2020, product sales from Amazon’s website generated $163 billion, which is more than the company’s other business units combined.
A significant day for online sales is Prime Day, which has grown into a major shopping event comparable to Black Friday and Cyber Monday. In 2020, Prime Day is projected to generate almost $10 billion in global revenue.
While ecommerce makes up a large portion of Amazon’s overall sales, there are many other segments that each generate billions in revenue to create immense value for the tech giant. For instance, enabling third-party sellers on the platform is the company’s second-largest unit in terms of net sales, racking up $63 billion over the course of a year.
This segment has shown tremendous growth over the last two decades. In 2018, it accounted for 58% of gross merchandise sales on Amazon, compared to just 3% in 2000. While third-party sellers technically outsold Amazon itself, the company still makes money through commission and shipping fees.
Amazon is Not Alone: Diversification is Common
Amazon isn’t the only major tech company to benefit from diverse revenue streams.
Other tech giants generate revenue through a range of products, services, and applications—for instance, while a healthy portion of Apple’s revenue comes from iPhone sales, the company captures 17% of revenue from a mix of services, ranging from Apple Pay to Apple Music. Microsoft is another example of this, considering it owns a wide range of hardware, cloud services, and platforms.
While there are several reasons to build a diverse business portfolio, a key benefit that comes from diversification is having a buffer against market crashes. This has proven to be particularly important in 2020, given the economic devastation caused by the global pandemic.
The Sum of its Parts
Despite varying levels of sales, each business unit brings unique value to Amazon.
For instance, while Amazon Web Services (AWS) falls behind online sales and third-party sellers in net sales, it’s one of the most profitable segments of the company. In the fourth quarter of 2019, more than half of Amazon’s operating income came from AWS.
In short, when looking at the many segments of Amazon, one thing is clear—the company is truly the sum of its parts.
Technology
Charted: The Jobs Most Impacted by AI
We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.
Charted: The Jobs Most Impacted by AI
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.
In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.
Data and Methodology
To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.
With this analysis, researchers were then able to estimate how AI would impact different occupational groups.
Department | Large impact (%) | Small impact (%) | No impact (%) |
---|---|---|---|
IT | 73 | 26 | 1 |
Finance | 70 | 21 | 9 |
Customer Sales | 67 | 16 | 17 |
Operations | 65 | 18 | 17 |
HR | 57 | 41 | 2 |
Marketing | 56 | 41 | 3 |
Legal | 46 | 50 | 4 |
Supply Chain | 43 | 18 | 39 |
In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.
Where AI will make the biggest impact
Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.
Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.
Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.
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